Supervise approximately 10 engineers across multiple US locations, overseeing career development, performance reviews, hiring, and daily team well-being.
Remain technically engaged by writing code, reviewing architectural decisions, and removing obstacles to technical progress on Protego roadmap tasks.
Collaborate with Product Owners to define and prioritize the Risk Engineering roadmap.
Manage sprint execution and Jira maintenance, including backlog refinement, sprint planning, and velocity monitoring.
Handle stakeholder relationships with Risk Operations, Compliance, Payments, and Identity teams.
Take responsibility for AWS cost management for the team's services, tracking spending and driving optimizations to support sustainability and green infrastructure goals.
Promote AI-assisted engineering practices within the team, utilizing tools like Claude Code and GitHub Copilot to enhance development speed and code quality.
Represent the team in cross-functional planning sessions and proactively escalate obstacles.

At least 8 years of hands-on professional experience building commercial products using Java.
At least 2 years of management experience leading and mentoring engineers on distributed teams.
Bachelor's degree in Computer Science or an equivalent field.
Substantial experience designing and building REST services and familiarity with microservice architectures.
Proven experience designing and building scalable, high-throughput, low-latency systems.
Comfort with relational and NoSQL database design and SQL.
Knowledge of security best practices for web application development, such as OWASP.
Experience working in a cloud environment, preferably AWS, including cost management and optimization.
Experience using Agile methodologies to plan and deliver functional increments.
Working knowledge of core ML concepts (precision, recall, F-score, model training/evaluation) to effectively collaborate with the Data Science team on risk model integration.
Strong grasp of AI/LLM concepts, including agents and agentic workflows, with the ability to evaluate and lead adoption of appropriate AI solutions for engineering challenges.
Comfort working with data to identify and analyze fraud patterns, translating findings into engineering and product decisions.
Strong verbal and written communication skills, including the ability to clearly explain technical concepts to non-technical audiences.

Experience with UI frameworks like Angular and React.
Experience with fraud/risk systems, payments, or high-scale transactional platforms.
Master's Degree in Computer Science.

Blackhawk Network is hiring a Manager II, Engineering